总结 ICCV 2019显著性目标检测文章

总结 ICCV 2019显著性目标检测文章

  1. Employing Deep Part-Object Relationships for Salient Object Detection
  2. TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
  3. Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection
  4. Selectivity or Invariance: Boundary-Aware Salient Object Detection
  5. Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
  6. Towards High-Resolution Salient Object Detection
  7. Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection
  8. Stacked Cross Refinement Network for Edge-Aware Salient Object Detection
  9. Motion Guided Attention for Video Salient Object Detection
  10. Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
  11. EGNet: Edge Guidance Network for Salient Object Detection
  12. Deep Learning for Light Field Saliency Detection
  13. Optimizing the F-Measure for Threshold-Free Salient Object Detection

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转载自blog.csdn.net/weixin_44790486/article/details/103843816